Financial and monetary policy responses to oil price shocks: evidence from oil-importing and oil-exporting countries

In this study, we investigate the financial and monetary policy responses to oil price shocks using a Structural VAR framework. We distinguish between net oil-importing and net oil-exporting countries. Since the 80s, a significant number of empirical studies have been published investigating the effect of oil prices on macroeconomic and financial variables. Most of these studies though, do not make a distinction between oil-importing and oil-exporting economies. Overall, our results indicate that the level of inflation in both net oil-exporting and net oil-importing countries is significantly affected by oil price innovations. Furthermore, we find that the response of interest rates to an oil price shock depends heavily on the monetary policy regime of each country. Finally, stock markets operating in net oil-importing countries exhibit a negative response to increased oil prices. The reverse is true for the stock market of the net oil-exporting countries. We find evidence that the magnitude of stock market responses to oil price shocks is higher for the newly established and/or less liquid stock markets.     

The transmission of market shocks and bilateral linkages: Evidence from emerging economies

The linkage between emerging and developed economies spans beyond the usual trade in goods and services. Underlying trade is the flow of capital for foreign direct investment and for speculation in markets, which renders emerging economies vulnerable to shocks from the developed world. As such, equity return volatility in emerging markets is partly attributable to this dependence. To gauge the importance of bilateral economic and cultural factors in driving economic integration, we adopt a two-step process. First, we use Diebold and Yilmaz's spillover index methodology to extract spillover indices representative of the return volatility spillover effects of the United States, the developed portion of the Euro area, and Japan on financial markets in Asia, the Gulf Cooperation Council countries, Eastern and Central Europe, Africa, and Latin America. Second, we test whether these indices are governed by economic and cultural factors. Our results show that the spillover effects vary across markets and that a strong correlation exists with the volume of trade, security investment, common language, distance, and market capitalization.     

Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries

This paper investigates the time-varying conditional correlation between oil price and stock market volatility for six major oil-importing and oil-exporting countries. The period of the study runs from January 2000 until December 2014 and a Diag-BEKK model is employed. Our findings report the following regularities. (i) The correlation between the oil and stock market volatilities changes over time fluctuating at both positive and negative values. (ii). Heterogeneous patterns in the time-varying correlations are evident between the oil-importing and oil-exporting countries. (iii) Correlations are responsive to major economic and geopolitical events, such as the early-2000 recession, the 9/11 terrorist attacks and the global financial crisis of 2007–2009. These findings are important for risk management practices, derivative pricing and portfolio rebalancing.     

The non-linear relationship between oil prices and stock prices: Evidence from oil-importing and oil-exporting countries

This paper investigates the long-run dynamics between stock and oil prices over the period from March 13, 2001 to August 25, 2017 using the Rafailidis and Katrakilidis (2014) approach, which includes the structural breaks in the relationship between the variables in a Dynamic Ordinary Least Squares model. The approach verifies the existence of cointegration and asymmetry. The main results indicate that when using nonlinear approaches, we can find cointegration and asymmetry. For oil-exporting countries, a positive long-term relationship was found between oil and stock prices. In this case, the wealth effect prevailed for these countries. For oil-importing countries with developed economies, a negative signal was found, confirming that in these economies the business cost channel prevailed. However, oil-importing countries with emerging economies have experienced a positive sign in the long-term relationship, probably due to the economic cycle. In addition, only the United States has seen asymmetric adjustments in the long-term relationship between oil and stock prices.     

Non-linear relationship between oil and cryptocurrencies: Evidence from returns and shocks

The price instabilities between oil prices and cryptocurrencies have motivated the current study to examine the nonlinear relationship between oil returns/shocks and cryptocurrencies during March 3, 2018 to October 10, 2021. We employed a novel methodology of cross-quantilogram to unveil the nonlinearity and asymmetry between oil shocks and cryptocurrencies. We find that when markets are normal and bullish, there is a positive correlation between oil returns and cryptocurrency returns at first lag; however, there is a negative correlation between oil returns and cryptocurrencies in all market conditions. Moreover, rising fluctuations in oil demand shocks brings significant movement in cryptocurrency returns in bearish market conditions and it is unlikely that oil demand shocks and cryptocurrencies returns move in same directions. Given these results, we proposed useful implications for policymakers, strategists, regulators, financial market participants, and investors to hedge/diversify their risk.     

Self-fulfilling expectations and the inflation of the 1970s: Evidence from the Livingston Survey

Using survey data on expectations, we examine whether the response of monetary policy to sudden movements in expected inflation contributed to the persistent high inflation of the 1970s. The evidence suggests that, prior to 1979, the Fed accommodated temporary shocks to expected inflation, which then led to persistent increases in actual inflation. We do not find this behavior in the post-1979 data. Among commonly cited factors, oil and fiscal shocks do not appear to have triggered an increase in expected inflation that eventually resulted in higher actual inflation.     

On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies

This paper provides a full characterization of inflation rate forecasts using the mean values from Consensus Economics for a sample of 78 advanced and emerging economies between 1989 and 2014. It also assesses the performance of inflation rate forecasts around business cycles’ turning points. As expected, that inflation forecasts start to mirror the actual data as the forecast horizon draws to a close, particularly in advanced economies. The mean forecast error is positive and larger than one point when we pool all countries, but this masks inter-group differences. Moreover, we find evidence for biasedness, inefficiency or information rigidities, with a clear tendency for “forecast smoothing”. Accounting for cross-country informational linkages is important: forecasters fail to adjust their inflation forecasts quick enough in response to domestic news and news from abroad. Finally, during recession episodes forecasts generally appear to be inefficient. The same holds true for recoveries.     

Testing the transparency benefits of inflation targeting: Evidence from private sector forecasts

Using inflation forecast data for 11 IT adoption countries, IT adoption is found to promote convergence in forecast errors, suggesting that it enhances transparency. This result, which is subjected to several robustness checks and found to be robust, supports Morris and Shin's (2002) contention that better public information is most beneficial for forecasters with bad private information. However, it does not support their hypothesis that better public information could make private forecasts less accurate.     

The role of market expectations in commodity price dynamics: Evidence from oil data

This paper examines the contribution of market expectations to commodity price dynamics. It proposes a dynamic competitive storage framework with an explicit expectations shock along with concurrent shocks to study the commodity price movements. This allows for a refined analysis of the expectations’ effect on price and inventory and the estimation of the expectations. Applied to the world crude oil market, it finds that the contribution of market expectations to the crude oil spot price movements is limited from 1987 to 2014.     

Disaggregated oil shocks and stock-market tail risks: Evidence from a panel of 48 economics

We analyse the impact of oil supply, global economic activity, oil-specific consumption demand, and oil-inventory demand shocks on equity-market tail risks of a panel of 48 developed and emerging economies over the monthly period from 1975:01 to 2017:12. We find that, oil supply, global economic activity, and oil-inventory demand shocks reduce tail risks, but oil-specific consumption demand shock increases tail risks, with these effects stronger in oil-exporting economies. Our results have important implications for investors and policymakers.     

The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach

We analyze the dynamics in the global crude oil market based on a structural vector autoregressive model. We identify the model by presuming that reduced form residuals can be traced back to structural shocks that are independently distributed over the cross equation dimension. The resulting point estimates of the impulse response functions allow for a direct comparison with the outcomes of more conventional identification approaches. Our results are remarkably similar to the results regarding oil market dynamics in Kilian and Murphy (2012) and Inoue and Kilian (2013) even though they rely on statistical arguments instead of a set of theory-based a priori restrictions. Based on the results from our statistical approach, we investigate the cumulative contributions of different oil shocks on the rapid fall in oil prices at the end of 2008 and 2014, as well as the effects of different oil shocks on macroeconomic aggregates in the US, the euro area, and China.     

Stock market dependence in crisis periods: Evidence from oil price shocks and the Qatar blockade

This paper examines the correlation and the dependence patterns of the Qatar stock market with other markets using copula statistical theory and exploiting new datasets covering the period August 1998 to June 2018. To examine the crisis –specific change in the average degree of dependence we decomposed the data into the time periods before and after oil price shocks and the 2017 political crisis among the Gulf Cooperation Council members (i.e. the Qatari blockade). Our findings from the static copula modelling show that the correlations between the Qatari and the other stock markets significantly change after the oil price and the blockade crisis as well. The degree of change in the correlation is time varying and differs from county-group to another. Moreover, our findings reveals that the 2008 global financial crisis has a stronger impact than the price shocks and political crisis. The findings of the paper are of interest and allow for formulating a reliable and dynamic portfolio design framework for investors and risk managers.     

Multilayer information spillover networks between oil shocks and banking sectors: Evidence from oil-rich countries

There is no doubt that oil price shocks significantly affect oil-producing countries' macroeconomic fundamentals and financial stability, mainly in crisis times. The recent oil price shocks, coupled with the COVID-19 pandemic, motivated us to investigate the connectedness and risk transmission among oil shocks and banking sectors in the Gulf Cooperation Council (GCC) economies from June 30, 2006, to September 9, 2021. Thus, we construct multilayer information spillover networks between oil price shocks and GCC banking sectors. The empirical results show that the Bahrain banking sector depicts the highest connectedness and risk transmission with oil price shocks on the extreme risk spillover layer. In addition, Kuwait and the United Arab Emirates are highly connected to oil demand shocks. Furthermore, we find a substantial increase in extreme risk spillover and volatility spillover layers during the COVID-19 period. The results of this paper have some important implications for regional portfolio risk management, alleviating systemic risk, and developing hedging and investment strategies.     

The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence

This paper investigates the effects of oil supply, oil-specific consumption demand, oil inventory demand shocks, and global economic activity shocks on state-level tradable and non-tradable inflation in the US. We use oil shock data following the work of Baumeister and Hamilton (2019) and estimate both linear and non-linear impulse responses using a lag-augmented local projections model in a panel context. Our results from a linear model show that both supply and demand-side oil shocks have a statistically significant impact on both types of inflation. While supply, global economic activity, and demand shocks have a greater impact on tradable inflation, non-tradable inflation responds more strongly to inventory shocks. Further, the non-linear model results provide evidence of heterogeneity in the magnitude and persistence of impact between high- and low-oil dependence regimes. Non-tradable inflation is more sensitive to nearly all components of oil price shocks in the high-oil dependence regime.     

Stock returns’ sensitivities to crisis shocks: Evidence from developed and emerging markets

We consider three “crisis shocks” related to key features of the 2007–2008 crisis, for emerging and developed economies: (1) the collapse of global trade, (2) the contraction of credit supply, and (3) selling pressure on firms’ equity. Using an international cross-section of firms, we find that returns’ sensitivities to these shocks imply large and statistically significant influences on residual equity returns during the crisis period (after controlling for normal risk factors that are associated with expected returns). Similar analysis for several placebo periods shows that these effects are generally less severe or absent in non-crisis periods. Relative to developed economies, emerging markets are more responsive to global trade conditions (in crisis and in placebo periods), but less responsive to selling pressures. An analysis of portfolios of firms during various placebo periods indicates that investors are not compensated for the risks associated with the crisis shocks. Finally, a month-by-month analysis of returns during the crisis period shows that the time variation of the importance of each of the sensitivities to shocks tracks related changes in the global economic environment.     

Monetary Pressures and Inflation Dynamics in Turkey: Evidence from P-Star Model

This paper uses the P-star model to explain inflation dynamics in Turkey. In P-star models, money determines the price gap, which is postulated to measure the pressure on prices in an economy. This pressure emerges when output is above the potential, the interest rate is lower than the natural rate, or there is pure excess money in the economy. The estimation results with the Turkish data show that the price gap contains considerable information for explaining inflation dynamics. Moreover, the model selection criterion that compares the empirical performance of the P-star model with the new classical Phillips curve relation favors the P-star model over the Phillips curve relationship. We conclude that money is efficacious in predicting risk in price stability in Turkey.     

An international comparison of scale economies in banking: Evidence from Turkey

In this article economies of scale are examined for Turkish banks. The literature on economies of scale in depository institutions is substantial. Yet, virtually all published articles have examined production/costs using data for developed countries, such as the United States, Canada, and Israel. Here we examine data from a country that has an economic system vastly different in terms of per capita productivity. Despite the differences, the results are similar across countries in that we find no significant evidence of economies of scale at output levels near the sample mean. This suggests that the conclusion from examining banks in developed countries—that a bank does not have to be large in order to be competitive from a cost perspective—holds in a less developed country.     

Multiple board appointments and firm performance in emerging economies: Evidence from India

This paper extends the literature on multiple directorships, busy directors and firm performance by providing evidence from an emerging economy, India, where the incidence of multiple directorships is high. Using a sample of 500 large firms and a measure of “busyness” that is more general in its applicability, we find multiple directorships by independent directors to correlate positively with firm value. Independent directors with multiple positions are also found to attend more board meetings and are more likely to be present in a company's annual general meeting. These findings are largely in contrast to the existing evidence from the US studies and lend support to the “quality hypothesis” that busy outside directors are likely to be better directors, and the “resource dependency hypothesis” that multiple directors may be better networked thereby helping the company to establish more linkages with its external environment. Multiple directorships by inside directors are, however, negatively related to firm performance. Our results suggest that the institutional specificities of emerging economies like India could work in favor of sustaining high levels of multiple directorships for independent directors without necessarily impairing the quality of corporate governance.     

Extracting inflation expectations and inflation risk premia from the term structure: A joint model of the UK nominal and real yield curves

This paper analyses the UK interest rate term structure over the period since October 1992, when the United Kingdom adopted an explicit inflation target, using an affine term structure model estimated using both government bond yields and survey data. The model imposes no-arbitrage restrictions across nominal and real yields, which enables interest rates to be decomposed into expected real policy rates, expected inflation, real term premia and inflation risk premia. The model is used to shed light on major developments over the period, including the impact of Bank of England independence and the low real bond yield ‘conundrum’.     

Effects of Monetary and Macroprudential Policies—Evidence from Four Inflation Targeting Economies

We examine the effects of monetary and macroprudential policies in the Asia‐Pacific region, where many inflation targeting economies have adopted macroprudential policies in order to safeguard financial stability. Using structural panel vector autoregressions that identify both monetary and macroprudential policy actions, we show that tighter macroprudential policies used to contain credit growth also have a significant negative impact on macroeconomic aggregates such as real GDP and the price level. The similar effects of monetary and macroprudential policies may suggest a complementary use of the two policies at normal times. However, they could also create challenges for policymakers, especially during times when low inflation coincides with buoyant credit growth.